A Systematic Error Compensation Strategy Based on an Optimized Recurrent Neural Network for Collaborative Robot Dynamics

A Systematic Error Compensation Strategy Based on an Optimized Recurrent Neural Network for Collaborative Robot Dynamics

Robot dynamics and its parameter identification are of great significance to the realization of optimal control and human–machine interaction. The objective of this research is to address the shortcomings of establishing and identifying the self-developed six-degree-of-freedom (6-DoF) collaborative...

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Bibliographic Details
Main Authors: Gong Zhang, Zheng Xu, Zhicheng Hou, Wenlin Yang, Jimin Liang, Gen Yang, Jian Wang, Huoming Wang, Changsoo Han
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Applied Sciences
Subjects:
collaborative robot
manipulator dynamics
error compensation
recurrent neural networks
long short-term memory
Online Access:https://www.mdpi.com/2076-3417/10/19/6743

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https://www.mdpi.com/2076-3417/10/19/6743

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